Title :
Research on Computation Model and Key Parameters of AIRS Supervised Classification in Remote Sensing Images
Author :
Wu Yundong ; Geng Lichuan
Author_Institution :
Coll. of Sci., Jimei Univ., Amoy, China
Abstract :
A framework of remote sensing images classification based on Artificial Immune Recognition System (AIRS) is present in this papers. The relation between key parameters and the classification results are analyzed. As shown in the experiment results, the new framework inherits robustness of AIRS relative to key parameter. Experimental results show that this framework is better than Maximum Likelihood Classification method.
Keywords :
artificial immune systems; geophysical techniques; geophysics computing; image classification; pattern recognition; remote sensing; AIRS supervised classification framework; Artificial Immune Recognition System; computation model; image classification; key parameters; remote sensing; Artificial immune systems; Classification algorithms; Computational modeling; Educational institutions; Image classification; Image recognition; Immune system; Maximum likelihood detection; Remote sensing; Robustness; AIRS; AIS; Remote Sensing Image; Supervised Classification;
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
DOI :
10.1109/ESIAT.2009.441
